Toward a Framework for Analyzing Individual and Team Neurodynamics During Collaborative Learning

• In Event: Problem Solving in Complex Settings: Technologies, Teams, and Learning Environments

Abstract

The purpose of this study was to explore the applicability of an Electroencephalography (EEG) based paradigm – event-related desynchronization of alpha – to the study of individual and team neurodynamics in the context of an authentic collaborative problem-solving task supported with technology. While our results are tentative, this study demonstrates that even-related desynchronization of alpha power has the potential to serve as a useful measure for understanding individual students’ neurodynamics as well as team neurodynamics during collaborative learning tasks. Individual and team neurodynamics data was derived from both alpha power spectral density values and from Area Under the Curve computations and aligned with (and helped explain) the results of learning performance data.

Author

• Pasha Antonenko, University of Florida